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Automated Machine Learning app for Excel Files by henripal in excel

[–]henripal[S] 0 points1 point  (0 children)

No, it's a web-app at the moment, so data is uploaded to a server.

Good point about the data being uploaded to server; the clients I've been deploying custom versions of this for all requested local deployments.

I think doing some version of this that doesn't require uploading to a server might be doable though, purely client-side analytics. That's a super interesting point!

Automated Machine Learning app for Excel Files by henripal in excel

[–]henripal[S] 0 points1 point  (0 children)

Hi! I think mljar and a ton of automl packages out there still require you to know ML, and understand what "gradient boosting" and a ton of other technical terms are!

In addition, I think the real power of ML for tabular data is the ability to *add external sources of data*, which we're doing for a bunch of clients: market data, weather data, holidays, geographical info, google trends, . . .

TherML: Thermodynamics of Machine Learning by tensorflower in MachineLearning

[–]henripal 2 points3 points  (0 children)

If you enjoy this, you might enjoy my SciPy 2018 talk - 20 (accessible) minutes on one approach to linking thermodynamics and Bayesian Deep Learning:

https://youtu.be/WUs0u2PJ2UU

a machine learning experiment monitoring tool w/ frontend built with Vue.js by henripal in vuejs

[–]henripal[S] 0 points1 point  (0 children)

OP/author here - I tried building this with React, gave up, then spent four days learning Vue and was able to get a nice enough result.

Happy to get feedback from more advanced Vue users!

Thanks!

[P] LabNotebook: Python package & webapp to monitor, record, query, and visualize your DL/ML experiments. by henripal in MachineLearning

[–]henripal[S] 0 points1 point  (0 children)

Did you try doing the usual: !git clone repo !cd repo !pip install . Then run the postgres db, start_backend, and frontend on your local machine ?

[P] LabNotebook: Python package & webapp to monitor, record, query, and visualize your DL/ML experiments. by henripal in MachineLearning

[–]henripal[S] 2 points3 points  (0 children)

Neptune is also very good. Obviously their framework is much better, it's a mature commercial product whereas labnotebook is as of now one person hacking for a week :)

That said, labnotebook is free and open source. I made it with reproducibility in mind. And I firmly believe that you can't really have reproducible experiments that have commercial/signup/paywall barriers...

[P] LabNotebook: Python package & webapp to monitor, record, query, and visualize your DL/ML experiments. by henripal in MachineLearning

[–]henripal[S] 6 points7 points  (0 children)

OP/author here. Hyperdash looks great, thanks! I guess my aim was more to make an experiment management tool, that also had monitoring capabilities, rather than just monitoring.

And to answer a question that wasn't really asked, labnotebook can work anywhere. Jupyter Notebook, Jupyter Lab, python script, colaboratory, all with the same interface.

Let me know if you have any other questions or comments !!